International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 69 - Number 26 |
Year of Publication: 2013 |
Authors: Pragati Rana, Vaibhav Mishra, Rahul Pachauri |
10.5120/12133-8391 |
Pragati Rana, Vaibhav Mishra, Rahul Pachauri . Filtering in Time-Frequency Domain using STFrFT. International Journal of Computer Applications. 69, 26 ( May 2013), 5-9. DOI=10.5120/12133-8391
The Fractional Fourier Transform is a generalized form of Fourier Transform, which can be interpreted as a rotation by angle ? in time-frequency plane or decomposition of signals in terms of chirps. However it fails in locating Fractional Fourier Domain Frequency contents. Short-time FRFT variants are suitable for analysis of multicomponent and non-linear chirp signals with improved time-frequency resolution. Short-Time FRFT is the simultaneous representation of, combination of the time and FRFD-frequency information. Filtering in the fractional domain separates the noise and the highly concentrated signal. Filtering results depict that the results in fractional domain give better results. The time-frequency representation in fractional domain is useful tool for various applications like filtering of chirp signals. Simulations are performed on MATLAB platform.